
Software Development · 330k people
Business and Marketing Data Scientist II
Posted 23 Oct
What’s this role about? The role involves developing and implementing data-driven solutions using LLMs and AI to address business challenges within Global Affairs. You will work with cross-functional teams to translate business needs into actionable analyses and provide strategic recommendations to senior leadership.
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Company
About Google A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

Responsibilities
- Support the development and implementation of data-driven solutions, with a
- focus on large language models (LLMs) and AI, to address business problems in
- Global Affairs, including providing trusted advice to policymakers, building
- an industry-leading regulatory and compliance system, and protecting our
- ability to provide high-quality products.
- Work with cross-functional teams to address AI/ML challenges and
- opportunities, specifically leveraging LLMs for text analysis and knowledge
- extraction, and translating business needs into actionable analyses and
- evaluation metrics.
- Stay current on emerging trends and best practices in data science and
- business analytics, with guidance.
Qualification
Required
- Master's degree in a quantitative discipline such as Statistics, Engineering,
- Sciences, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems,
- coding (e.g., Python, R, SQL), querying databases or statistical analysis, or
- a relevant PhD degree.
- legal/compliance department, or within government.
Preferred
- 4 years of experience using analytics to solve product or business problems,
- coding (e.g., Python, R, SQL), querying databases or statistical analysis, or
- a relevant PhD degree.
Benefits
- Bonus
- Equity
- Health Insurance
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